Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+summarizer = pipeline(
+    "summarization",
+    'pszemraj/led-large-book-summary'
+)
+
+def summarizer(text):
+    result = summarizer(
+        text,
+        min_length=16,
+        max_length=256,
+        no_repeat_ngram_size=3,
+        encoder_no_repeat_ngram_size=3,
+        repetition_penalty=3.5,
+        num_beams=4,
+        early_stopping=True,
+    )
+
+with gr.Blocks() as demo:
+    gr.Markdown("#Text-to-Image Generator")
+    text = gr.Textbox(label="Text Input", placeholder="Enter your text......")
+    submit_btn = gr.Button("Summarize")
+    summary = gr.Textbox(label="Summary")
+    submit_btn.click(fn=summarizer, inputs=text, outputs=summary)
+demo.launch()